10 per cent of all healthtech deals are now AI-related and growing at exponential rate

London, UK – 25 February 2020. The latest Healthtech M&A market report from Hampleton Partners, the international technology mergers and acquisitions advisor, reveals that boom times are back in healthtech M&A, along with a rapidly increasing appetite to apply Artificial Intelligence (AI) to solve many of medicine’s pressing problems.

The number of AI-related healthtech transactions has doubled every six months since the second half of 2017, reaching 10 per cent of all deals by the end of 2019.

Back to boomOverall healthtech transaction volumes have seen a healthy rebound after dropping significantly in 2H2016 and 1H2017. Volumes increased by 14 per cent compared to 1H 2019 and 27 per cent compared to the same period last year.

The majority of recent disclosed healthtech transactions were aimed at process efficiency, primarily tackling mounting cost pressures and inefficiencies across the healthcare industry but also tackling new challenges.

Jonathan Simnett, director, Hampleton Partners, says: “The phenomenal progress being made in healthcare technology, including genomics, is generating exabytes of data that need analysis, storage and security. That puts the spotlight on AI and machine learning companies which can comb through this massive data pool to extract what’s needed to deliver the tailored therapies, drug discovery and care delivery that the sector wants to achieve.

“The number of AI targets is rising exponentially as the early movers and pioneers in this space are maturing and becoming ripe for sale. It’s also an illustration of the softening in data privacy concerns by the medical establishment and patients.”

Adoption of AI in healthcareHampleton expects this trend to continue during 2020 and beyond, driven by mounting cost pressures to drive transition to prevention and precision in medicine, as well as research efficiencies.

According to a recent paper published in the journal Cell, researchers at the Massachusetts Institute of Technology reported that AI had been used to discover a potent new antibiotic, Halicin, which was able to kill 35 powerful bacteria, in the global fight against drug resistance.

Prolific acquirersWaystar, a provider of revenue cycle technology that leverages predictive analytics and AI to automate manual tasks, streamline business processes and lower costs for healthcare providers, is one of the most prolific acquirers that have focused their acquisition strategy on AI, acquiring Digitize.AI, PARO and Recondo Technology in 2H 2019.

During the same period, Swedish PE firm EQT and the Canadian Pension Plan Investment Board (CPPIB) acquired an undisclosed majority stake in Waystar, valuing the combined entity at $2.7b. Former owner Bain Capital retained a minority stake after the transaction.

“Given the pressure on health systems worldwide – ever-rising costs, aging populations, lifestyle diseases and rising patient expectations, not to mention the threat from rapidly spreading epidemics such a coronavirus – healthcare providers are having to turn to new technologies if they have any hope of maintaining and enhancing future healthcare services.

“That, in turn, is driving a very active healthcare M&A market as companies compete for acquisitions in AI as a strategy to support innovation and seek to dominate technology sectors such as medical data analysis.”

Note to Editors:Hampleton Partners’ M&A Market Reports are compiled using data and information from the 451 Research database (www.451research.com); CapitalIQ, a product of S&P Global; Financial Technology Partners; and CB Insights.

About Hampleton PartnersHampleton Partners is at the forefront of international mergers and acquisitions and corporate finance advisory for companies with technology at their core. Hampleton’s experienced deal makers have built, bought and sold over 100 fast-growing tech businesses and provide hands-on expertise and unrivalled advice to tech entrepreneurs and companies which are looking to accelerate growth and maximise value.